Data Analyst

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Qureos

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

👥 HR Tech

☁️ SaaS

🤖 Artificial Intelligence

HR Tech • SaaS • Artificial Intelligence

Qureos is an AI-driven recruitment platform and hiring SaaS that accelerates time-to-hire for employers across the Middle East and South Asia. It provides instant talent sourcing (claiming candidate search in 5 seconds), an applicant tracking system (or integrations with existing ATS), talent insights and screening tools, and an AI hiring assistant called Iris that automates sourcing and vetting. Qureos serves enterprise and high-volume hiring use cases across industries (aviation, manufacturing, finance, retail, tech, healthcare, construction, hospitality, oil & gas, logistics, education and more) and offers employer-facing hiring resources and productivity tools (job description and interview generators, calculators, templates). The company recently raised $5M to scale its recruiting product and regional operations.

📋 Description

• Analyze and interpret large volumes of data from various sources to identify trends, patterns, and anomalies that can inform business strategies. • Develop and maintain dashboards and reports that communicate key performance indicators and metrics to stakeholders at all levels. • Collaborate closely with teams such as marketing, finance, and operations to gather requirements and understand their data needs, ensuring accurate and timely reporting. • Utilize statistical tools and methodologies to ensure data integrity and to validate findings, with a focus on continuous improvement of data collection and analysis processes. • Present findings and recommendations in a clear and concise manner, tailoring communication styles to meet the needs of diverse audiences. • Assist in the design and implementation of data collection systems and other strategies that optimize statistical efficiency and data quality.

🎯 Requirements

• Strong proficiency in data analysis tools and software, such as SQL, Excel, or Python, to manipulate and analyze data. • Solid understanding of statistical analysis techniques and methodologies, including regression analysis, correlation, and predictive modeling. • Exceptional problem-solving skills with a keen attention to detail and an ability to work with complex datasets. • Excellent communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders effectively. • Demonstrated ability to work independently and collaboratively in a remote environment, managing multiple tasks and deadlines effectively. • Nice to have Experience with data visualization tools such as Tableau, Power BI, or similar platforms to enhance reporting capabilities. • Familiarity with data warehousing concepts and experience working with databases and data management systems. • Knowledge of machine learning algorithms and experience in building predictive models to drive business insights. • A background in business intelligence or experience in a similar analytical role within a fast-paced environment. • Understanding of data privacy regulations and best practices to ensure compliance in data handling and reporting.

🏖️ Benefits

• Flexible remote work • Professional development opportunities